摘要
为了实现快速、准确的基于图像处理的智能导航,采用事先在地面上铺设路径导引线,利用安装在叉车前方的CCD摄像头来获得实时的路况信息,通过对路况图像进行阈值化、形态学滤波、图像扫描等方法来计算出导航信息。在改进的叉车模型上进行的实验结果表明,该导航算法在直道和不同曲率的弯道情况下都能及时地、准确地进行路径纠偏,并具备抗干扰性强、运行稳定、速度快等特点。
In order to achieve fast and accurate intelligent navigation based on image processing, this paper uses the method of marking the path guided line in advance, getting the real-time path information through the CCD camera fixed on the front of the forklift, calculating the deviation information through thresholding, morphological filtering, image scanning and so on. The test result indicates that this algorithm can adjust the driving direction timely under straights and corners of different radius, has the characteristics strong anti-interference, stability, fast.
出处
《机电一体化》
2011年第10期62-65,共4页
Mechatronics
关键词
图像处理
形态学滤波
路径识别
路径提取
image processing morphological filters path identification path extraction